uClassify

About

We are the creators of uClassify. We really enjoy to use our own web service and intend to share as many classifiers as possible!
http://www.uclassify.com/ External Link

uClassify's classifiers (17)

Ageanalyzer

This classifier tries to estimate to which age group a blog belongs. The training data is based upon about 7000 blogs collected randomly from Internet.
14481247
total classifications

Art Topics

Categories an English text into an art topic. Use the parent classifier 'Topics' to find out if a text belongs in this category. It uses a subset of topics from the Open Directory Project at http://www.dmoz.org.
1696329
total classifications

Business Topics

Categories an English text into an business topic. Use the parent classifier 'Topics' to find out if a text belongs in this category. It uses a subset of topics from the Open Directory Project at http://www.dmoz.org.
1182139
total classifications

classics

This classifier has been trained on 21 different classical authors. We have used about three books per author collected from the Gutenberg project. It only works for English texts. Try it out to see which poet your blog or text is most alike!
1153062
total classifications

Computer Topics

Categories an English text into a computer topic. Use the parent classifier 'Topics' to find out if a text belongs in this category. It uses a subset of topics from the Open Directory Project at http://www.dmoz.org.
4334733
total classifications

Example News Categorizer

This news categorizer is only a simple example used in a tutorial. It has been trained on 20 texts per category (sports, entertainment and science) so don't expect too much (even though it seems to do incredibly well).
16598
total classifications

Game Topics

Categories an English text into a game topic. Use the parent classifier 'Topics' to find out if a text belongs in this category. It uses a subset of topics from the Open Directory Project at http://www.dmoz.org.
432299
total classifications

GenderAnalyzer_v5

This classifier tries to figure out if a text is written by a male or female. It has been trained on 11000 blogs (5500 blogs wrtten by females and 5500 by males). More text gives better results.
20091698
total classifications

Health Topics

Categories an English text into a health topic. Use the parent classifier 'Topics' to find out if a text belongs in this category. It uses a subset of topics from the Open Directory Project at http://www.dmoz.org.
492532
total classifications

Home Topics

Categories an English text into a home topic. Use the parent classifier 'Topics' to find out if a text belongs in this category. It uses a subset of topics from the Open Directory Project at http://www.dmoz.org.
942459
total classifications

Recreation Topics

Categories an English text into a recreation topic. Use the parent classifier 'Topics' to find out if a text belongs in this category. It uses a subset of topics from the Open Directory Project at http://www.dmoz.org.
582394
total classifications

Science Topics

Categories an English text into a science topic. Use the parent classifier 'Topics' to find out if a text belongs in this category. It uses a subset of topics from the Open Directory Project at http://www.dmoz.org.
308387
total classifications

Sentiment

This classifier determines if a text is positive or negative. It can be used to conduct market research, brand surveys and see trends around campaigns. It's based on about 40000 Amazon product reviews (collected by Mark Dredze cs.jhu.edu/~mdredze/datasets/sentiment/) and mood training data (by mattiasostmar.net). You can read more in our blog:
197962858
total classifications

Society Topics

Categories an English text into a society topic. Use the parent classifier 'Topics' to find out if a text belongs in this category. It uses a subset of topics from the Open Directory Project at http://www.dmoz.org.
1358328
total classifications

Sport Topics

Categories an English text into a sport topic. Use the parent classifier 'Topics' to find out if a text belongs in this category. It uses a subset of topics from the Open Directory Project at http://www.dmoz.org.
393069
total classifications

Text Language

Classifies the language of a text by looking on about 4000 commonly used words per language. It works best with clean texts but can also be used for HTML pages. For reliable results HTML pages need more text content (since HTML often contains English words and comments).
31348793
total classifications

Topics

Categories an English text into a topic (Arts, Business, Computers, Games, Health, Home, Recreation, Science, Society and Sports). Each of those topics has more specific child classifier (Art Topics, Business Topics etc). It uses a subset of topics from the Open Directory Project at http://www.dmoz.org.
32351941
total classifications